Corpus ID: 1342828

Forecasting Global Rice Consumption

@inproceedings{Rejesus2012ForecastingGR,
  title={Forecasting Global Rice Consumption},
  author={R. Rejesus and S. Mohanty and J. Balagtas},
  year={2012}
}
This paper examines the time-series properties of global rice consumption data commonly used in studies of consumption trends and evaluates alternative time-series models for long-range forecasts. Using time-series data from 1961-2011, we find that per capita rice consumption and GDP per capita are non-stationary in levels (i.e., they are unit root processes) and are not cointegrated. Thus previous studies that have applied econometric models for stationary data suffer from the well-known… CONTINUE READING
11 Citations
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